Idea Discovery Robot

wanshuiyin/auto-claude-code-research-in-sleep

This orchestrates a four-stage pipeline that takes a robotics direction and outputs validated, benchmark-grounded ideas: literature survey filtered through CoRL/RSS/ICRA venues, idea generation with explicit embodiment and simulator constraints, novelty checking, and critical review via external models. It enforces sim-first pilots by default and blocks real robot execution unless you explicitly approve it. Every idea must specify target benchmark, failure modes, and whether hardware is actually needed. Use it when you want to go from "bimanual manipulation" or "drone navigation" to concrete project proposals that are falsifiable and feasible, not just flashy demos. The robotics framing (embodiment, action interface, observation modality, benchmark availability) gets locked down before any idea generation happens, which keeps the output grounded in actual infrastructure instead of vague ML research.

skills.sh installs: 530
GitHub stars: 18.9K
last updated: Aug 21, 2026

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Install

$ npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill idea-discovery-robot --agent claude-code

Installs into .claude/skills of the current project.

Files

Robotics Idea Discovery Pipeline

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

Orchestrate a robotics-specific idea discovery workflow for: $ARGUMENTS

Overview

This skill chains four sub-skills into a single automated pipeline:

/research-lit → /idea-creator (robotics framing) → /novelty-check → /research-review
  (survey)              (filter + pilot plan)         (verify novel)    (critical feedback)

SKILL.md on GitHub

Details

Repository: github.com/wanshuiyin/auto-claude-code-research-in-sleep
Categories: Git & Pull Requests, Code Review & Quality, Data Science & ML, Automation & Workflows, Sales & Marketing
First seen: Jun 3, 2026